Essentially, each cluster has a symbolic description in the form of a rule (IF conjunction of conditions THEN cluster), while the tree structure represents the hierarchy of clusters. Clusters that are not on the same branch of a tree do not overlap.
Predictive clustering has been mainly evaluated in the context of trees. In this paper, we extend predictive clustering toward rules. Each cluster is described ...
(PDF) Learning Predictive Clustering Rules. - ResearchGate
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Predictive clustering has been mainly evaluated in the context of trees. In this paper, we extend predictive clustering toward rules. Each cluster is described ...
In this paper, we extend predictive clustering toward rules. Each cluster is described by a rule and different clusters are allowed to overlap since the sets of ...
In the thesis [10] we developed and empirically evalu- ated a method for learning predictive clustering rules. The method [10, 9] combines ideas from ...
Methods for predictive clustering enable us to construct models for predicting multiple target variables, which are normally simpler and more comprehensible ...
We have introduced the notion of clustering rules and focused on the task of learning predictive clustering rules for multi-objective prediction. The task.
Our main goal is to extend the predictive clustering approach to methods for learning rules, i.e., to develop methods for learning predictive clustering rules.
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In this paper, we extend predictive clustering toward rules. Each cluster is described by a rule and different clusters are allowed to overlap since the sets of ...
Predictive clustering has been mainly evaluated in the context of trees. In this paper, we extend predictive clustering toward rules. Each cluster is described ...